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Factors Influencing Quantity Variations in BIM-Based Quantity Take-offs for Building Finishing Works

BIM기반 건물 마감수량 산출 시 수량 차이 요인

  • Received : 2024.06.24
  • Accepted : 2024.09.03
  • Published : 2024.10.20

Abstract

With the growing adoption of Building Information Modeling(BIM), many studies on BIM-based quantity take-off are being conducted. However, the absence of standardized quantity take-off protocols for BIM-based methods has led to a decline in accuracy. This study aimed to compare quantity take-off results from 3D models with those derived from traditional 2D-based quantity take-off methods and modeling approaches, specifically for finishing work, and to identify the underlying causes of any discrepancies. The analysis revealed significant variations in the quantities of walls, floors, and ceilings, with walls exhibiting the largest deviation. The primary cause of these discrepancies was that when interior and exterior surfaces were modeled as a single composite object, it became impossible to accurately set the height of individual finishing materials, resulting in overestimations of the quantities. Consequently, the study demonstrated that modeling interior and exterior components as separate composite objects in 3D models can significantly reduce quantity take-off discrepancies. Moving forward, the establishment of precise quantity take-off standards through additional case studies will be crucial for improving cost management in BIM applications.

최근 BIM을 활용도가 높아지면서 BIM기반 수량산출의 관한 연구가 다양하게 진행되고 있지만 기존 BIM기반 수량산출에 관한 명확한 기준이 정립되지 않아 정확도가 떨어지고 있다. 따라서 본 연구에서는 마감공사를 대상으로 2D기반 수량산출과 모델링 방법에 따라 3D모델에서 산출한 수량 차이를 비교하고 수량차이 원인을 파악하고자 하였다. 수량산출 결과 벽, 바닥, 그리고 천장 순으로 수량차이가 크게 나타났다. 차이가 발생한 이유는 내부와 외부를 하나의 복합요소로 모델링할 경우 모든 마감재의 높이를 설정할 수 없기 때문에 실제 수량보다 더 과하게 산출되기 때문이다. 따라서 3D 모델에서 마감수량을 산출할 경우 내부와 외부를 각각의 복합요소로 구성하여 모델링하는 것이 수량차이를 줄일 수 있는 것으로 나타났다. 향후 더 많은 사례연구를 통해 산출 기준을 정립한다면 BIM을 활용한 원가관리가 활성화될 수 있을 것으로 사료된다.

Keywords

Acknowledgement

This work was supported by Kyonggi University's Graduate Research Assistantship 2024.

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